Netflix 规模下的本体驱动端到端可观测性知识图谱
原标题：Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
AI 摘要
Netflix 可观测性团队工程师 Prasanna Vijayanathan 和 Renzo Sanchez-Silva 在演讲中介绍了 Netflix 规模下的可观测性挑战：峰值 6500 万并发流、每日超 20 亿请求、每秒超 3800 万实时日志事件。他们提出以本体（ontology）驱动的端到端知识图谱，将传统被动监控转变为主动洞察引擎，实现自动检测、优先级排序、分诊、根因分析乃至预测问题。
正文节选
Transcript Prasanna Vijayanathan: My name is Prasanna Vijayanathan. I'm part of the observability team at Netflix. I work on observability, performance, and quality of experience across all our member applications. What that means is from the point you click on the Netflix logo until you start watching something, how does your experience feel on Netflix is what I look into. What metrics should we look at? What tools should we have? What insights should we provide to our users to make sure that w